Exploring the temporal dimension in policy evaluation studies

This article explores the time dimension in policy evaluation studies. We argue that time has been given little attention in policy evaluation studies, despite it being very important for the occurrence and assessment of policy success or failure. We therefore propose to make time a central element of policy evaluation. First, we explore the theoretical foundations behind the concept of time. Second, we present a case study to investigate the presence of time in that specific case and the evaluation thereof. We conclude with recommendations for policy evaluation studies.     

WHAT'S GOOD FOR THE GAYS IS GOOD FOR THE GANDER: MAKING HOMELESS YOUTH HOUSING SAFER FOR LESBIAN,GAY, BISEXUAL,AND TRANSGENDER YOUTH

Across the United States, lesbian, gay, bisexual, and transgender (LGBT) youth are grossly overrepresented in the homeless youth population. These youth are at an increased risk of being victims of violence in homeless youth housing facilities. This Note examines the causes of the overrepresentation of LGBT youth in the homeless youth population. Additionally, this Note suggests the following changes to the regulation of homeless youth housing programs to make them safer for these youth: (1) placing low maximum limits on the occupancy capacity at which these programs may operate, (2) requiring that all showering facilities provide individual privacy, (3) prohibiting anti‐LGBT discrimination in the provision of services, (4) requiring nondiscrimination and sensitivity training, and (5) promoting the creation of LGBT‐specific homeless youth housing programs.     

What the design of an R&;D tax incentive tells about its effectiveness: a simulation of R&;D tax incentives in the European Union

Most industrialized countries apply special tax incentives to boost the R&D expenditures of firms. This study considers the design of such R&D tax incentives as applied in the European Union and simulates its effect on the post-tax R&D expenditures of firms in different industries and different profit/loss-situations by means of the simulation model European Tax Analyzer. Any restrictions and progressive tax incentives are explicitly taken into account. Our results indicate that for designing and measuring public support to R&D it is often not sufficient to focus only on tax rate effects of R&D tax incentives and the design of a tax incentive must be in accordance with the framing tax system in order to be effective. As soon as there are any limitations in place, our results suggest a considerably lower impact of R&D tax incentives on the post-tax R&D expenditures than the commonly used B-Index by the OECD. The results clearly illustrate the beneficial impact of immediate cash refunds for unused tax incentives.     

Relationship between reported crime rates and victimization survey results: An empirical and analytical study

Changes over time in crime as measured by reported crime counts and victimization survey counts are compared. A simple analysis is done using data from the Law Enforcement Assistance Administration's (LEAA) National Crime Survey for the years 1973, 1974, and 1975. These data are used to provide some understanding of why Uniform Crime Reports (UCR) results for these years show a much greater increase in crime than the LEAA/Census Bureau National Crime Surveys. A mathematical model is constructed to determine whether changes in the proportion of victimization reported to the authorities produces systematic bias in reported crime estimates of changes in actual victimizations. It is found that reported crime counts: (1) either exaggerate the amount of changes in victimizations or, (2) tend to misrepresent the direction of change in victimizations. It is highly likely that the amount of measurement error in changes in reported crime is significantly large in comparison with, if not larger than, the normal amounts of change in reported crime.